sniklaus/3d-ken-burns

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1569 stars · 222 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch reference implementation of the 3D Ken Burns Effect from a Single Image paper, which animates a still photo with a virtual camera scan and zoom subject to motion parallax. It includes automatic effect generation, a web interface for manually adjusting the camera path, and depth estimation tooling.

Use cases

• turn a single photo into a 3D ken burns video
• animate a still image with parallax zoom
• estimate depth from a single image
• manually adjust a virtual camera path over a photo
• generate parallax video from photos

When to choose

• you want to reproduce the 3D Ken Burns paper results
• you have a CUDA GPU and want automatic parallax animation from one image
• you need single-image depth estimation for view synthesis

When to avoid

• you have no NVIDIA GPU or CUDA environment
• you need a maintained production tool rather than a research implementation
• you need commercial use of the dataset (CC BY-NC-SA licensed)

Facets

library · maturity maintenance

machine-learning deep-learning image-processing video-processing computer-vision computer-vision deep-learning media image-processing python cross-platform ken-burns-effect depth-estimation pytorch cuda cupy video-generation research-implementation video gpu linux

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markdown · JSON · MCP: product_card(name="sniklaus/3d-ken-burns")